PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 9, 2018IET Renewable Power Generation173 citationsOpen Access

Expeditious frequency control of solar photovoltaic/biogas/biodiesel generator based isolated renewable microgrid using grasshopper optimisation algorithm

View Full Paper
ABAmar Kumar BarikDDDulal Chandra Das

Key Points

Key points are not available for this paper at this time.

Abstract

This work endeavours to propose an approximate mathematical model of a community based renewablemicrogrid with solar photovoltaic, biogas and biodiesel generators includingbattery storage for load frequency studies. It becomes a great challenge tocoordinate between generation and load demand of the microgrid as the renewablesources are highly unpredictable and nature dependent. To overcome this issue,the responses of the system are studied under different real‐world scenarios ofrenewable source availabilities and load variations with a maiden approachtowards optimising the controller gains using a recent grasshopper optimisationalgorithm (GOA) for efficient frequency control. The frequency responses ofproposed microgrid are compared with different conventional controllers and somepopular optimisation algorithms using MATLAB/Simulink. Finally,proportional–integral–derivative controller with GOA is preferred for the casestudies under four cases of source variations with step load perturbation andone case of simultaneous source and load variations. The results of all thesefive scenarios are found satisfactory in terms of frequency responses andreported in the work.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Barik et al. (2018) studied this question.

synapsesocial.com/papers/69d9d83b0d540cafc583797fhttps://doi.org/10.1049/iet-rpg.2018.5196
Ask AI
Helpful
Bookmark
Share
View Full Paper